We conduct experiment on ShapeNetPart[1]} for shape segmentation. ShapeNetPart is a collection of 16681 point clouds (14006 for training, 2874 for testing) from 16 categories, each annotated with 2-6 labels. Input features are normals only, while point coordinates \((x,y,z)\)  are incorporated in the network for voxelization and local aggregation. We random sample 2048 points for training and use the original points for testing.
